Dan Cuperman - RankMe

17 papers A* 1C 1Journal 5Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Academic Faculty Perceptions of Incorporating Industry 4.0 Technologies in Engineering Higher Education. Int. J. Eng. Pedagog. Dan Cuperman, Ira Raveh
2023	C	`conf`	Student learning of engineering systems through simulation-based design using Onshape and Blender. ISM Igor M. Verner, Dan Cuperman, Matthew Mueller
2022	J	`jnl`	Augmented and Virtual Reality Experiences for Learning Robotics and Training Integrative Thinking Skills. Robotics Igor M. Verner, Dan Cuperman, Huberth Perez-Villalobos, Alex Polishuk, Sergei Gamer
2022	—	`conf`	Enriching Teacher Training for Industry 4.0 Through Interaction with a High School Engineering Project. ICL (1) Igor M. Verner, Huberth Perez, Dan Cuperman, Alex Polishuk, Moshe Greenholts, Uzi Rosen
2022	—	`conf`	Inservice teachers explore RACECAR MN in physical and augmented environments. SoSE Igor M. Verner, Dan Cuperman, Alex Polishuk
2021	J	`jnl`	Exploring Robot Connectivity and Collaborative Sensing in a High-School Enrichment Program. Robotics Igor M. Verner, Dan Cuperman, Michael Reitman
2021	—	`conf`	Focusing a Technology Teacher Education Course on Collaborative Cloud-Based Design with Onshape. ICL (2) Dan Cuperman, Igor Michael Verner, Laura Levin, Moshe Greenholts, Uzi Rosen
2019	—	`conf`	Digital Twin of the Robot Baxter for Learning Practice in Spatial Manipulation Tasks. REV Igor M. Verner, Dan Cuperman, Sergei Gamer, Alex Polishuk
2019	J	`jnl`	Training Robot Manipulation Skills through Practice with Digital Twin of Baxter. Int. J. Online Biomed. Eng. Igor M. Verner, Dan Cuperman, Sergei Gamer, Alex Polishuk
2018	—	`conf`	Exposing Robot Learning to Students in Augmented Reality Experience. REV Igor M. Verner, Michael Reitman, Dan Cuperman, Toria Yan, Eldad Finkelstein, Tal Romm
2018	—	`conf`	Intelligent Robotics in High School: An Educational Paradigm for the Industry 4.0 Era. ICL (1) Igor M. Verner, Dan Cuperman, Tal Romm, Michael Reitman, Shi Kai Chong, Zoe Gong
2017	—	`conf`	Robot Online Learning Through Digital Twin Experiments: A Weightlifting Project. REV Igor M. Verner, Dan Cuperman, Amy Fang, Michael Reitman, Tal Romm, Gali Balikin
2017	J	`jnl`	Robot Online Learning to Lift Weights: A Way to Expose Students to Robotics and Intelligent Technologies. Int. J. Online Eng. Igor M. Verner, Dan Cuperman, Michael Reitman
2015	—	`conf`	Learning with Learning Robots: A Weight-Lifting Project. RiTA Igor M. Verner, Dan Cuperman, Anjali Krishnamachar, Sherri Green
2014	A*	`conf`	Learning interactions with and about robotic models. HRI Igor M. Verner, Dan Cuperman
2012	—	`conf`	Humanoids at the Assistive Robot Competition RoboWaiter 2012. RiTA Igor M. Verner, Dan Cuperman, Amit Cuperman, David J. Ahlgren, Steve Petkovsek, Vlad Burca, Binay Poudel, Junius Santoso
2009	—	`conf`	Learning from Analogies between Robotic World and Natural Phenomena. FIRA Igor M. Verner, Dan Cuperman

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.